Development and investigation of the effectiveness of the particle swarm optimization algorithm

This article deals with investigation of the effectiveness of the Particle Swarm Optimization (PSO) [1] algorithm for solving constrained and unconstrained one- and multi-criteria optimization problems. Besides the investigations were conducted both the standard and the binary PSO. Also parallelized modifications of these algorithms were developed for multi-processor operations and two real-world problems were solved.